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[AI-NN-PRART1

Description: Adaptive Resonance Theory Brain Modeling 人工智能人工神经网络源码-Adaptive Resonance Theory Brain Modeling artificial neural network artificial intelligence source
Platform: | Size: 24576 | Author: | Hits:

[Multimedia Developamr2wav

Description: Adaptive Multi-Rate (AMR) voice file to wave file
Platform: | Size: 323584 | Author: 韩振晟 | Hits:

[Graph programOTSU

Description: OTSU 算法可以说是自适应计算单阈值(用来转换灰度图像为二值图像)的简单高效方法。下面的代码最早由 Ryan Dibble提供,此后经过多人Joerg.Schulenburg, R.Z.Liu 等修改,补正。-OTSU algorithm can be calculated adaptive threshold (for conversion to gray scale images binary images), a simple and efficient manner. The following code from the earliest to provide Ryan Dibble, after a more than Joerg.Schulenburg, R. Z. Liu amend the correction.
Platform: | Size: 1024 | Author: 林宏津 | Hits:

[matlabAECLMS

Description: 自适应滤波器,噪声消除-adaptive filter, noise reduction
Platform: | Size: 1024 | Author: 熊模昌 | Hits:

[matlabcomp_wls

Description: 几种自适应滤波器算法-several algorithm about adaptive signal processing
Platform: | Size: 1024 | Author: 熊模昌 | Hits:

[AI-NN-PRbpexamples

Description: 使用MATLAB6.5实现的自适应学习速率反向传播网络-Matlab6.5 achieved using adaptive learning rate back-propagation network
Platform: | Size: 8192 | Author: 陈雷 | Hits:

[Graph Recognize动态图像序列背景重建

Description: 运用差分法将动态图像序列的背景重建,根据运动序列建立自适应背景-difference method using dynamic image sequence reconstruction of the background, according to campaign to establish adaptive background sequence
Platform: | Size: 5120 | Author: 唐勇 | Hits:

[AI-NN-PR自适应神经网络在确定落煤残存瓦斯量中的应用

Description: 落煤残存瓦斯量的确定是采掘工作面瓦斯涌出量预测的重要环节,它直接影响着采掘工作面瓦斯涌出量预测的精度,并与煤的变质程度、落煤粒度、原始瓦斯含量、暴露时间等影响因素呈非线性关系。人工神经网络具有表示任意非线性关系和学习的能力,是解决复杂非线性、不确定性和时变性问题的新思想和新方法。基于此,作者提出自适应神经网络的落煤残存瓦斯量预测模型,并结合不同矿井落煤残存瓦斯量的实际测定结果进行验证研究。结果表明,自适应调整权值的变步长BP神经网络模型预测精度高,收敛速度快 该预测模型的应用可为采掘工作面瓦斯涌出量的动态预测提供可靠的基础数据,为采掘工作面落煤残存瓦斯量的确定提出了一种全新的方法和思路。-charged residual coal gas is to determine the volume of mining gas emission rate forecast an important link, which directly affect mining gas emission rate forecast accuracy, and with coal metamorphism, loading coal particle size, the original gas content, exposure time and other factors nonlinear relationship. Artificial neural networks have expressed arbitrary nonlinear relationships and the ability to solve complex nonlinear, time-varying uncertainty and the new ideas and new approaches. Based on this, the author of adaptive neural network loading coal residual gas production forecast model, and a combination of different loading coal mine gas remnants of the actual test results of research. Results show that the adaptive value of the right to change step BP neural network model predict
Platform: | Size: 60416 | Author: 王静 | Hits:

[DSP programFOR5416 DSK

Description: TMS320C5416算法程序包。其中包括FFT,IIR,FIR,Adaptive Filter等。可以直接在5416DSK上运行。-TMS320C5416 algorithm package. These include FFT, IIR, FIR, such as Adaptive Filter. 5416DSK directly on the run.
Platform: | Size: 261120 | Author: 林金龙 | Hits:

[matlabChap_5_EQ

Description: 本程序是关于自适应滤波器的均衡实验代码, 其中较为详细的比较了扩散系数对误差的影响-this program is adaptive filter on the balanced experimental code, which is more detailed comparison of the diffusion coefficient of error of
Platform: | Size: 10240 | Author: 尚峰 | Hits:

[Data structs维纳滤波程序

Description: 一个用自适应维纳FIR滤波器消除脑电波中的干扰(转)-an adaptive Wiener FIR filter brain waves to eliminate the interference (switch)
Platform: | Size: 1024 | Author: 启东 | Hits:

[matlabfnn-ok

Description: 用于自适应控制的模糊神经网络代码,输入是误差和误差变化率。-for adaptive control of the FNN code, the importation of error and error rate of change.
Platform: | Size: 1024 | Author: 许佳 | Hits:

[AI-NN-PR自组织系统Kohonen网络模型源程序

Description: 自组织系统Kohonen网络模型。对于Kohonen神经网络,竞争是这样进行的:对于“赢”的那个神经元c,在其周围Nc的区域内神经元在不同程度上得到兴奋,而在Nc以外的神经元都被抑制。网络的学习过程就是网络的连接权根据训练样本进行自适应、自组织的过程,经过一定次数的训练以后,网络能够把拓扑意义下相似的输入样本映射到相近的输出节点上。网络能够实现从输入到输出的非线性降维映射结构:它是受视网膜皮层的生物功能的启发而提出的。~..~-Kohonen network model. For Kohonen neural network, competition is this : For the "winner" of neurons c, in its switching around the region neurons in varying degrees, to be excited, and the switching outside the neurons were inhibited. Network learning is a process in the network connecting the right under the training samples for adaptive, self-organizing process, after a certain number of training, network topology can sense similar to the mapping of the input samples similar to the output nodes. Network can be achieved from input to output of nonlinear reduced-dimensional mapping structure : it is subject to retinal cortex of the biological function inspired by. ~ ~ ..
Platform: | Size: 34816 | Author: 张洁 | Hits:

[Data structsdcce1

Description: 使用tc2的adaptive huffman编码,并附带图形界面-use of adaptive vs. Huffman coding, and incidental graphical interface
Platform: | Size: 101376 | Author: cwj | Hits:

[Picture Viewer5ivb_487118

Description: vb jpeg编码这是一个比较完整的JPEG压缩程序,支持 彩色/灰度、Y分量水平/垂直采样律、图像质量 调整。使用的是最简单的基线系统(BaseLine)压缩方式,量化表及Huffman表都是与ACDSee一致的,没有提供自适应Huffman表压缩功能。-vb jpeg coding This is a relatively complete JPEG compression process, support for color/grayscale, Y component level/vertical sampling law, image quality adjustment. The use of the most simple baseline system (BaseLine) compression method to quantify the Huffman table and the table with ACDSee are the same, and did not provide adaptive Huffman compression table.
Platform: | Size: 86016 | Author: 王宇 | Hits:

[Technology Management自适应滤波算法的MATLAB代码

Description: 这是用MATLAB制作的自适应滤波算法的源码-This is produced using MATLAB adaptive filter algorithm source code
Platform: | Size: 32768 | Author: 代宏伟 | Hits:

[DSP program最小二乘自适应滤波器

Description: 有需要自适应滤波算法的来,希望对大家有帮助-need adaptive filter algorithm, we hope to help
Platform: | Size: 608256 | Author: 代宏伟 | Hits:

[Othernlms

Description: 一种窄带干扰抑制的非线性自适应预测滤波算法!-a narrowband interference suppression filter nonlinear adaptive prediction algorithm!
Platform: | Size: 1024 | Author: 高丽 | Hits:

[Compress-Decompress algrithmslzari_huf

Description: In each step the LZSS algorithm sends either a character or a <position, length> pair. Among these, perhaps character "e" appears more frequently than "x", and a <position, length> pair of length 3 might be commoner than one of length 18, say. Thus, if we encode the more frequent in fewer bits and the less frequent in more bits, the total length of the encoded text will be diminished. This consideration suggests that we use Huffman or arithmetic coding, preferably of adaptive kind, along with LZSS.-In each step the LZSS algorithm sends either a character or a lt;position, lengthgt; pair. Among these, perhaps character "e" appears more frequently than "x", and a lt;position, lengthgt; pair of length 3 might be commoner than one of length 18, say. Thus, if we encode the more frequent in fewer bits and the less frequent in more bits, the total length of the encoded text will be diminished. This consideration suggests that we use Huffman or arithmetic coding, preferably of adaptive kind, along with LZSS.
Platform: | Size: 4096 | Author: 冰冰 | Hits:

[AI-NN-PRgeneric pid

Description: 遗传算法PID自适应控制MATLAB程序集-GA PID adaptive control procedures set MATLAB
Platform: | Size: 6144 | Author: 张俊 | Hits:
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